CN116399692B - Mass assessment method for compressive strength of concrete with quality problem - Google Patents

Mass assessment method for compressive strength of concrete with quality problem Download PDF

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Publication number
CN116399692B
CN116399692B CN202310059405.1A CN202310059405A CN116399692B CN 116399692 B CN116399692 B CN 116399692B CN 202310059405 A CN202310059405 A CN 202310059405A CN 116399692 B CN116399692 B CN 116399692B
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component
abnormal
normal
concrete
compressive strength
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CN116399692A (en
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刘汉昆
黎红兵
孙雁榕
罗苓隆
任晓丹
梁爽
薛伶俐
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Sichuan Institute of Building Research
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Sichuan Institute of Building Research
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/02Devices for withdrawing samples
    • G01N1/04Devices for withdrawing samples in the solid state, e.g. by cutting
    • G01N1/08Devices for withdrawing samples in the solid state, e.g. by cutting involving an extracting tool, e.g. core bit
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/40Investigating hardness or rebound hardness
    • G01N3/52Investigating hardness or rebound hardness by measuring extent of rebound of a striking body
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0001Type of application of the stress
    • G01N2203/0003Steady
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0014Type of force applied
    • G01N2203/0016Tensile or compressive
    • G01N2203/0019Compressive
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058Kind of property studied
    • G01N2203/0076Hardness, compressibility or resistance to crushing
    • G01N2203/0083Rebound strike or reflected energy
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

The invention discloses a mass evaluation method for concrete compressive strength with quality problems, which comprises the following steps: s1: randomly sampling the concrete member set to be tested to obtain a plurality of sampling pieces; s2: judging whether an abnormal component exists in the sampling piece; if yes, executing step S3; s3: determining the boundary between the abnormal component and the normal component; s4: dividing the component set into a plurality of sub-component sets according to the boundaries of the abnormal component and the normal component; s5: and respectively carrying out batch evaluation on the sub-component sets. According to the invention, the component set with the regional quality problem is classified and evaluated in batches by the core drilling method and the rebound method, so that the detection period and the detection workload of the traditional detection method are greatly saved, the safety risk of the detection evaluation result is reduced, the detection evaluation result is more scientific and reasonable, and the subsequent identification and reinforcement treatment is safer and more reliable.

Description

Mass assessment method for compressive strength of concrete with quality problem
Technical Field
The invention relates to the technical field of buildings, in particular to a mass evaluation method for concrete compressive strength with quality problems.
Background
In recent years, construction quality accidents caused by concrete quality problems sometimes occur, and the concrete quality problems often cause lower strength and increased discreteness of part of the member concrete. For the detection personnel, when the strength of the concrete member in the local area is abnormal due to the material problem or the construction problem, the compressive strength of a certain member set (such as a wall, a column, a beam, a plate and the like) cannot be evaluated in batches, and at the moment, the detection personnel can estimate the strength of a single member of the certain member set in a single evaluation mode. On the one hand, the detection workload is greatly increased, and the economical efficiency is poor; on the other hand, from the statistical point of view, due to the fact that the whole component set is large in discreteness, the concrete components qualified in single assessment also hide large safety risks, so that safety hazards exist in the whole reinforced structure, in other words, the quality problems can be found out through regional batch assessment. Based on the above-mentioned current demands and the outstanding problems existing in the current practice, a method for evaluating the strength of the member set concrete in batches, which has regional quality problems, is important and urgent.
Disclosure of Invention
In order to solve the problems, the invention aims to provide a mass evaluation method for the compressive strength of concrete with quality problems, which reduces the detection workload of the concrete members in the prior art, improves the detection efficiency and improves the economic effect.
In order to achieve the above purpose, the present invention adopts the technical scheme that:
the mass evaluation method for the compressive strength of the concrete with quality problems comprises the following steps:
S1: randomly sampling the concrete member set to be tested to obtain a plurality of sampling pieces;
S2: judging whether an abnormal component exists in the sampling piece or not; if yes, executing step S3;
S3: determining the boundary between the abnormal component and the normal component;
s4: dividing the component set into a plurality of sub-component sets according to the boundary between the abnormal component and the normal component;
s5: and respectively carrying out batch evaluation on the plurality of sub-component sets.
As a preferred embodiment, the boundary refers to the boundary between a normal component and an abnormal component.
As a preferred embodiment, the step S2 of determining whether abnormal components exist in the plurality of sampling members includes the steps of:
S201: the sampling pieces all adopt a core drilling method to obtain core samples;
s202: and detecting the compressive strength value of the core sample, judging whether an abnormal value exists in the compressive strength value, and if so, judging that the component corresponding to the core sample is an abnormal component.
In a preferred embodiment, in the step S2, if no abnormal member exists in the sample, the concrete member set is evaluated in batch.
In the step S3, the peripheral members are selected from the small radius to the large radius by using the abnormal members as the circle centers, and the inspection is performed root by root until the normal members are inspected.
As a preferred embodiment, the step S3 includes the steps of:
S301: selecting the components around the abnormal component as components to be detected;
s302: uniformly selecting 5 areas on the abnormal component and the component to be detected respectively, and taking the minimum rebound average value of the areas of each component as the characteristic value of the component;
S303: judging whether the corresponding component is a normal component or an abnormal component according to the characteristic value; the boundary of the normal member and the abnormal member is determined.
As a preferred embodiment, the set of subcomponents includes a set of normal components and a set of abnormal components; and the normal component set and the abnormal component set are respectively subjected to batch evaluation.
The invention has the beneficial effects that:
The invention provides a mass evaluation method for the compressive strength of concrete with quality problems, which classifies and evaluates a component set with regional quality problems in batches by a core drilling method and a rebound method, greatly saves the detection period and the detection workload of the traditional detection method, reduces the safety risk of the detection evaluation result, ensures that the detection evaluation result is more scientific and reasonable, and ensures that the subsequent identification and reinforcement treatment is safer and more reliable.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a component set distribution diagram in an embodiment of the invention;
FIG. 3 is a diagram of a component under test in an embodiment of the invention.
In the figure: 1. a sampling member; 2. an abnormal member; 3.a boundary.
Detailed Description
The present invention will be further described with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent. In the description of the present invention, it should be understood that the terms "upper," "lower," "front," "rear," "left," "right," "top," "bottom," "inner," "outer," and the like indicate or are based on the orientation or positional relationship shown in the drawings, merely to facilitate description of the present invention and to simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Example 1
As shown in fig. 1-3, the embodiment provides a mass evaluation method for compressive strength of concrete with quality problems, which comprises the following steps:
s1: randomly sampling the concrete member set to be tested to obtain a plurality of sampling pieces; the concrete member set is a set of the same concrete members, such as a set of concrete columns, concrete walls, concrete beams, concrete slabs and the like, when the concrete strength of a local area is insufficient due to material problems or construction problems, abnormal member arrangement in the concrete member set is arranged in an area shape, a plurality of sampling pieces can be obtained through a random sampling method, and whether the strength of the area where the sampling piece is located is abnormal is judged through detecting the strength of the sampling piece;
S2: judging whether an abnormal component exists in the sampling piece or not; if yes, executing step S3; in the step, the abnormal component is defined as an abnormal component when the compressive strength value of a certain sampling piece is abnormal, and the abnormal component is defined as a normal component when the compressive strength value is not abnormal;
S3: determining the boundary between the abnormal component and the normal component; the boundary refers to the boundary between the normal component and the abnormal component, when the boundary between the abnormal component and the normal component is determined, the rest components are sequentially detected root by taking the abnormal component as the center of a circle in a mode of radius from small to large until the normal component is detected, and the boundary between the abnormal component and the normal component is the boundary between the abnormal component and the normal component;
S4: dividing the component set into a plurality of sub-component sets according to the boundary between the abnormal component and the normal component; the sub-component set comprises a normal component set and an abnormal component set; the normal component set and the abnormal component set are respectively evaluated in batches; because the concrete abnormal component sets are distributed in a regional mode, when the boundaries of the abnormal components and the normal components are determined, the abnormal component sets and the abnormal component sets can be divided into different areas according to the boundaries.
S5: respectively carrying out batch evaluation on a plurality of sub-component sets; when the sub-components are evaluated in batches, the normal component set and the abnormal component set are evaluated in batches respectively, so that the problem that the concrete strength in the concrete component set is large in discreteness and cannot be evaluated in batches is avoided.
Example 2
As shown in fig. 1-3, the present embodiment is developed on the basis of the foregoing embodiment, and specifically, the present embodiment provides a method for evaluating the compressive strength of concrete in batches, which has a quality problem, and includes the following steps:
S1: randomly sampling the concrete member set to be tested to obtain a plurality of sampling pieces;
S2: judging whether an abnormal component exists in the sampling piece or not; if yes, executing step S3; and if no abnormal component exists in the sampling piece, carrying out batch evaluation on the concrete component set.
S201: the sampling pieces all adopt a core drilling method to obtain core samples; compared with other strength detection methods, the core drilling method can reflect the strength value of the concrete member more truly;
s202: and detecting the compressive strength value of the core sample, judging whether an abnormal value exists in the compressive strength value, and if so, judging that the component corresponding to the core sample is an abnormal component.
S3: the abnormal component and the peripheral components are examined one by one, and the boundary between the abnormal component and the normal component is determined; and selecting peripheral components from small radius to large radius by adopting a rebound method by taking the abnormal components as the circle centers, and checking the components one by one until the normal components are checked. The rebound method is adopted, so that the efficiency is high, the economy is good, and the method is suitable for root-by-root investigation.
S301: selecting the components around the abnormal component as components to be detected; the components to be tested are respectively selected according to the radius by taking the abnormal component as the circle center;
S302: uniformly selecting 5 areas on the abnormal component and the component to be detected respectively, and taking the minimum rebound average value of the areas of each component as the characteristic value of the component; selecting a plurality of areas to ensure the measurement accuracy, and taking the minimum rebound average value of the areas as the characteristic value of a component when the number of the areas is less than 10 by adopting a rebound method;
S303: judging whether the corresponding component is a normal component or an abnormal component according to the characteristic value; the boundary of the normal member and the abnormal member is determined.
S4: dividing the component set into a plurality of sub-component sets according to the boundary between the abnormal component and the normal component; the sub-component set comprises a normal component set and an abnormal component set;
S5: respectively carrying out batch evaluation on a plurality of sub-component sets; and respectively carrying out batch evaluation on the normal component set and the abnormal component set.
Example 3
As shown in fig. 1-3, the present embodiment is developed on the basis of the foregoing embodiment, and specifically, the present embodiment provides a specific implementation manner of a concrete compressive strength batch evaluation method with quality problems, which includes the following steps:
S1: randomly sampling the concrete member set to be tested to obtain a plurality of sampling pieces; as shown in fig. 2, the concrete member set includes 70 members in total, and is distributed in a matrix of 5×12, and if there are abnormal members in the concrete member set, the abnormal member set is distributed in a regional manner, and 9 members are randomly selected as sampling pieces in this embodiment;
s2: judging whether an abnormal component exists in the sampling piece or not;
S201: the sampling pieces all adopt a core drilling method to obtain core samples; core drilling sampling is carried out on the 9 sampling pieces, and 3 core samples are drilled on each component; the diameter of the core sample is 100mm, and the height-diameter ratio is 1:1;
S202: detecting the compressive strength value of the core sample, judging whether an abnormal value exists in the compressive strength value, if so, judging that the component corresponding to the core sample is an abnormal component; performing a compressive strength experiment on the core sample to obtain a compressive strength value, and judging whether an abnormal value exists in the compressive strength value according to a Dixon test method; in this embodiment, an abnormal member is present in the selected sample piece, as shown in fig. 2.
S3: determining the boundary between the abnormal component and the normal component; selecting peripheral components from small radius to large radius by adopting a rebound method, and checking each by each until normal components are checked; the boundary between the abnormal component and the normal component is the boundary between the abnormal component and the normal component;
S301: selecting the components around the abnormal component as components to be detected; as shown in fig. 3, the abnormal components are selected according to the radius by taking the abnormal components as circle centers;
S302: uniformly selecting 5 areas on the abnormal component and the component to be detected, and taking the minimum rebound average value of the areas of each component as the characteristic value of the component; the distance between two adjacent areas is controlled within 2m, the distance between the areas and the end of the component or the edge of the construction joint is not more than 0.5m, and not less than 0.2m. The areas are preferably selected on two symmetrical measurable surfaces of the component, can also be selected on one measurable surface, are uniformly distributed, and have an area not more than 0.04m 2;
S303: judging whether the corresponding component is a normal component or an abnormal component according to the characteristic value; the boundary of the normal member and the abnormal member is determined. According to the specification of JGJ/T23-2011 of technical regulations for detecting the compressive strength of concrete by a rebound method, taking a concrete strength conversion value of a minimum area as a strength estimation value of the component; for the characteristic value of each component, whether the value belongs to an abnormal value is judged according to national standard 'data statistics processing and normal sample outlier judgment and processing' GB/T4883. If the component belongs to the abnormal value, the corresponding component belongs to an abnormal component; if it does not belong to an outlier, the corresponding component belongs to a "normal component"). Repeating the above operation until the normal component is detected, and taking the boundary line between the normal component and the abnormal component as the boundary; the boundaries of the partitions are shown in fig. 2.
S4: dividing the component set into a plurality of sub-component sets according to the boundary between the abnormal component and the normal component; the sub-component set comprises a normal component set and an abnormal component set;
S5: respectively carrying out batch evaluation on a plurality of sub-component sets; and respectively carrying out batch evaluation on the normal component set and the abnormal component set. The batch evaluation in this example is carried out according to the method in national standard "reliability evaluation Standard for civil construction" GB50292 and industry Standard "technical procedure for detecting concrete compressive Strength by rebound method" JGJ/T23.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (4)

1. The mass evaluation method for the compressive strength of the concrete with quality problems is characterized by comprising the following steps of: the method comprises the following steps:
s1, randomly sampling a concrete member set to be tested to obtain a plurality of sampling pieces;
S2, judging whether an abnormal component exists in the sampling piece or not; if yes, executing step S3;
S3, determining the boundary between the abnormal component and the normal component;
s4, dividing the component set into a plurality of sub-component sets according to the boundary between the abnormal component and the normal component;
s5, respectively carrying out batch evaluation on a plurality of sub-component sets;
In the step S2, determining whether an abnormal component exists in the plurality of sampling pieces includes the following steps:
S201, the sampling pieces all adopt a core drilling method to obtain core samples;
s202, detecting the compressive strength value of the core sample, judging whether an abnormal value exists in the compressive strength value, and if so, judging that the component corresponding to the core sample is an abnormal component;
In the step S3, the peripheral members are selected from the small radius to the large radius by using the abnormal member as the center of a circle by adopting a rebound method, and the investigation is performed one by one until the normal member is inspected.
2. The mass evaluation method for the compressive strength of concrete with quality problems according to claim 1, wherein: the boundary refers to the boundary between the normal component and the abnormal component.
3. The mass evaluation method for the compressive strength of concrete with quality problems according to claim 1, wherein: the step S3 includes the steps of:
s301, selecting a member around the abnormal member as a member to be detected;
S302, uniformly selecting 5 areas on the abnormal component and the component to be detected respectively, and taking the minimum rebound average value of each component as the characteristic value of the component;
s303, judging that the corresponding component is a normal component or an abnormal component according to the characteristic value; the boundary of the normal member and the abnormal member is determined.
4. The mass evaluation method for the compressive strength of concrete with quality problems according to claim 1, wherein: the sub-component set comprises a normal component set and an abnormal component set; and the normal component set and the abnormal component set are respectively subjected to batch evaluation.
CN202310059405.1A 2023-01-17 2023-01-17 Mass assessment method for compressive strength of concrete with quality problem Active CN116399692B (en)

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Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101303329B (en) * 2008-06-13 2010-08-11 东南大学 Integrated strength testing method based on neural network technology
CN101545840A (en) * 2009-04-29 2009-09-30 徐州建筑职业技术学院 Method for calculating strength of structural concrete by strength of core
JP6074936B2 (en) * 2012-07-23 2017-02-08 株式会社大林組 Method for estimating the extent to which the compressive strength of concrete is decreasing in concrete structures
CN108362580B (en) * 2018-01-22 2020-12-04 武汉路通市政工程质量检测中心 Method for detecting concrete strength of structural solid by impact elastic wave method
CN209802896U (en) * 2019-04-19 2019-12-17 重庆市建筑科学研究院 Rebound tester for recognizing and recording detection data based on OCR technology
CN211341892U (en) * 2019-11-19 2020-08-25 四川省建筑科学研究院有限公司 Quick reinforced structure of reinforced concrete member
CN115308063A (en) * 2022-08-23 2022-11-08 刘祥锦 Concrete strength sampling detection method for existing building

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
关于钻芯法批量评定混凝土强度问题的探讨;刘兴远;余周;;工程质量(11);第139-142页 *

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